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Industry and engineering

Private AI for industry and engineering in Barcelona

Your technical know-how, searchable in seconds and without leaving the company network.

We install an AI in your plant or engineering office that searches drawings, standards, datasheets and incident reports, drafts quotes and reports, and automates processes, without your know-how leaving your network, even with no internet. It protects trade secrets and helps with NIS2. We start with a free assessment at your plant or by video call.

The problem

  • Drawings, customer specifications and process recipes are our trade secrets: they cannot be uploaded to a cloud chat.
  • The knowledge lives in the heads of three veteran technicians and in thousands of PDFs nobody can find.
  • Our customers and NIS2 require us to control our digital supply chain, and every SaaS tool is one more supplier to justify.
  • On the shop floor there are isolated networks and areas with no internet, where a cloud AI simply does not work.
  • Preparing a technical quote or a non-conformity report takes us days of copying and pasting.

Use cases

  1. 01

    Technical search with citations

    Standards, datasheets, machine manuals, specifications and lessons learned, searchable in natural language with a link to the document and page.

  2. 02

    Quotes and technical documentation

    Draft quotes, technical reports and tender responses based on previous projects and the customer's requirements.

  3. 03

    Quality and incidents

    Analysis of non-conformities, 8D reports and past complaints to find recurring causes and propose actions.

  4. 04

    Maintenance assistant

    The technician looks up a machine's manual and breakdown history by its error code and gets the exact page and what was done last time.

  5. 05

    Agents that automate processes

    Reading purchase orders, delivery notes and certificates, cross-checking them against the ERP and flagging anything that does not match, with the AI running on your server.

  6. 06

    A model adapted to your vocabulary

    Fine-tuning (LoRA) an open model with your terminology, codes and internal formats when search alone is not enough.

  7. 07

    Isolated installations

    Air-gapped deployment for plant networks or R&D departments with no internet connection.

Catalan industry runs on what is not on the internet

The industrial base of Barcelona and its surroundings (automotive, chemicals, food, machinery, engineering firms and technical offices) depends on knowledge that does not appear in any search engine: tolerances, process recipes, fixes for breakdowns, quotes won and lost. That is exactly what AI can make useful and, at the same time, what should never leave the company network.

Regulation is pushing in the same direction. The Trade Secrets Act only protects what has been protected with reasonable measures, and NIS2 brings digital supplier control to many factories that had never considered it. An AI installed on your own server is not one more supplier: it is a machine you own.

What it looks like day to day

A quality engineer asks what happened the last time a customer rejected a batch because of burrs and gets the three relevant 8D reports, with the action that worked. The person in charge of quotes starts from a draft that already combines the customer’s requirements with two similar projects. In maintenance, the technician looks up an error code and the assistant shows the manual page and that machine’s history. And every morning an agent checks incoming orders and flags any part number that does not match the ERP.

What we already do in our lab

This is not theory. In our Barcelona lab, two clustered NVIDIA DGX Spark units and several RTX GPUs run open models of up to 320 billion parameters, with contexts of up to a million tokens, and agents that work 24 hours a day. Our private gateway has served around 11.15 billion tokens at zero cost per token. We know how much memory each model needs, what fails and when, and how to switch models without interrupting the service.

How we deploy it

  1. Assessment. We classify the information (what is secret, what is public, what contains personal data), look at the systems you have and which tasks take up the most engineering hours. You come away with use cases, an architecture and a fixed proposal.
  2. Pilot of 2 to 4 weeks. Usually technical search over part of the documentation, with a specific team. We measure search time and answer quality.
  3. Production. Installation on your network (isolated if needed), integrations with your ERP or document management system, agents for the processes that justify them, and maintenance with controlled model updates.

When you don’t need it

If the information you want to search is public or there are no trade secrets involved, a cloud tool with a suitable contract may be cheaper. And if the problem is that the documentation does not exist, it has to be written first: AI organises and finds knowledge, but it does not invent it.

Recommended services

AI and GDPR assessment

AI and GDPR assessment for your business in Barcelona

We review how you use AI today, what data it touches and what obligations you have. You leave with a clear plan: what to run locally, what can go to the cloud and in what order.

Timeline: 1 to 2 weeks

Frequently asked questions

Does the AI work without an internet connection?

Yes. Once installed, it runs inside your network and can work completely isolated (air-gapped). It only needs to go online, if you want it to, to update models during maintenance, and that is done in a controlled way.

What hardware does an industrial company need?

It depends on how many people use it and the volume of documentation. For an engineering office of 5 to 30 people, a compact server such as the NVIDIA DGX Spark is usually enough; for many users or agents, two in a cluster, like the one in our Barcelona lab. We help you buy it or we use the hardware you already have.

Do we need to fine-tune a model with our data?

Not usually at first. Search with citations over your documentation covers most cases; fine-tuning makes sense when there is a vocabulary, format or task so specific to you that a general model cannot handle it.

Does it integrate with our ERP or MES?

Yes, if it has an API, an accessible database or exports. The agents read and propose; any write to a critical system goes through human approval.

Free assessment

We install an AI in your plant or engineering office that searches drawings, standards, datasheets and incident reports, drafts quotes and reports, and automates processes, without your know-how leaving your network, even with no internet. It protects trade secrets and helps with NIS2. We start with a free assessment at your plant or by video call.